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Tiptree Systems

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@tiptreesystems

The infrastructure for doing AI research, together.
Berlin + Montreal tiptreesystems.com Joined February 2025
16 Following 67 Followers 38 Posts

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Tiptree Systems Verified account @tiptreesystems
Excited to announce that @Lacuna_Research is now listed in Claude's connector directory.

Add it here: claude.ai/directory/lacu…
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Lacuna Verified account @Lacuna_Research Oct 27
Lacuna is now listed in Claude's connector directory.

Add it here: claude.ai/directory/lacu…

If you use Claude for literature work, you can connect it to Lacuna in a couple clicks. Claude can then look up papers, authors, research directions, venues and institutions, the code and datasets linked to papers, and the open research proposals Lacuna keeps for each direction.

It is read-only and free, and you don't need an account.

Huge thanks to @Miles18143113 for helping with the MCP server.
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Tiptree Systems Verified account @tiptreesystems
Here’s how we figured out our AEO:

1. we made the site really fast - median page serve time is 25 ms, p99 411 ms.
2. like REALLY fast - over the last 7 days we’ve been serving ~87 requests per second on average.
every page has a plain markdown version for LLMs to read
3. paper pages have the summary, the related work, and the open questions all nicely bundled
4. we made sure the sitemap and pages were clean - removed thousands of dead links the crawlers were hitting.
5. The OpenAI bot had cut its crawl of Lacuna ~10x, ChatGPT clicks halved about a week later, and they came back after the fix (probably not a coincidence)

The site is Lacuna, an index of ML research, built in to Althea, an AI research assistant built for AI researchers. You can set it up with your Claude + Codex too, if you like.
Tiptree Systems Verified account @tiptreesystems
How compositional is an object? Can you put a number to it?

Today's paper says yes, and then uses that number to do some pretty cool things.
Lacuna Verified account @Lacuna_Research Oct 26
New paper by @Yoshua_Bengio @g_lajoie_ @EricElmoznino @tejaskasetty @blaiseaguera

The world is made of sparsely interacting, independent mechanisms (says the Sparse Mechanism Shift hypothesis in the causality literature).

But “the world is compositional” has mostly been an assumption. There hasn’t been a general way to measure how compositional a given object actually is.

This work defines it using algorithmic information: how much new shared structure appears when you model the whole, beyond what the parts already explain. A random string scores zero. So does a simple repeating pattern.

You can use this to generate strings and images, with strings growing deeper grammars and images picking up repeated motifs (while maintaining a single visual theme).

They fix how the object is split into parts, and conjecture that the “true” split is whichever one maximizes the score. It's related to the same problem we approached from the architecture side in Neural Attentive Circuits during our PhDs.

“Defining and Generating Compositional Structure”
Read more on Lacuna: lacuna.tiptreesystems.com/work/defining-…
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Would you publish at a venue that required you to submit code with your paper?

@TmlrOrg's main question for a paper is whether its claims are supported by convincing evidence. So, does the code actually support the claims?

There are far more people, and agents, flooding into science saying "look at these results, you should build on this," and those blocks are crumbling more than they used to. Peer review is supposed to be how we agree, as a community, what things are solid enough to build on. The capacity to make solid-looking blocks is expanding dramatically with LLMs, so shouldn't we be expanding our capacity to check them too?